'Weather@home ANZ' is a global citizen science distributed computing project being run as part of the Oxford-based 'weather@home' project, which is part of 'climateprediction.net'. In this experiment, a detailed limited area (regional) climate model is embedded within the less detailed 'driving' global model. This higher-resolution regional model is able to tell us in unprecedented detail about potential changes to patterns of weather as climate changes. In the initial 'weather@home' experiment launched in 2010, the project team released this regional modelling capability for three regions: Europe, Southern Africa and the Western USA. This capability has been extended to other regions around the world and the first such new region to be developed was the Australasian region encompassing Australia, New Zealand and surrounding areas, which was launched to the public in 2014. This particular part of the project - 'weatherathome ANZ' - has received support from the University of Oxford (U.K.), the U.K. Met. Office, the Universities of Melbourne and Tasmania (Australia), the Tasmanian Partnership for Advanced Computing and the New Zealand National Institute for Water and Atmospheric Research (NIWA). 'weather@home' has also been supported by Microsoft Research.

We have used a quantitative definition of marine heatwaves to detect all events which have occurred in 12 regions across the continental shelf off eastern Tasmania over 1993-2015. For each event in each region this atlas includes information on (i) event properties including intensity, duration and depth, (ii) maps of regional ocean circulation and ocean temperature during the event, and (iii) maps of regional atmospheric conditions during the event (air temperature and surface wind). Also provided are summary statistics including the typical conditions which give rise to marine heatwaves in each region and annual time series demonstrating interannual variability and long term trends in marine heatwave properties. Provided is a comprehensive document presenting the atlas and a set of CSV files containing the underlying data.